Related Objects of Interest: chair , person , door , table , knife , gun , bridge , smoke , fire , bus

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Top Water Bottle Datasets and Models

The datasets below can be used to train fine-tuned models for water bottle detection. You can explore each dataset in your browser using Roboflow and export the dataset into one of many formats.

At the bottom of this page, we have guides on how to train a model using the water bottle datasets below.

Instance Segmentation Model roboflow-3-n-seg

D5

397 images 148 classes 3 models

rock Animal-cat Animal-mouse Animal-pig Arrow-direction Avatar-female Avatar-male Balance-scales Balloon-hot-air Barcode Bell Book Bookshelf Bot Bottle Box Bridge Browser Bucket Bullet-points

Object Detection Model yolov8 yolov8s snap

Anthony Bryan A Jupuri

1.1k images 10 classes 10 models

large bottled water medium bottled water medium soda medium thick bottle pepsi viper small bottled water small soda small thick bottle xs soda xs thick bottle

Object Detection Model yolov8 yolov8s snap

Anthony Bryan A Jupuri

2.1k images 10 classes 10 models

large bottled water medium bottled water medium soda medium thick bottle pepsi viper small bottled water small soda small thick bottle xs soda xs thick bottle

Object Detection Model yolov8 yolov8s snap

Anthony Bryan A Jupuri

1.6k images 10 classes 10 models

large bottled water medium bottled water medium soda medium thick bottle pepsi viper small bottled water small soda small thick bottle xs soda xs thick bottle

Object Detection Model

nitpy_salinewater

National institute of technology puducherry

374 images 13 classes 2 models

0 ml 100 ml 200 ml 200ml 300 ml 300ml 400 ml 500 ml 500ml Saline Bottle Water Level Water level o ml

Object Detection

Perception THRSL

2.1k images 37 classes

Barbed-fence Bridge Building Bus Car Chair Concertina-fence Cupboard Door Fire Fire-extinguisher Gate Gun Hand-grenade Hill Jeep Knife Lunch-box Person Person-in-uniform

Object Detection

10k images 5 classes

Bottle Paper Plastic Sand Water

Object Detection Model snap

1k images 10 classes 1 model

Gun Knife Laptop Plastic-Bottle Pliers Portable Charger 1 Portable Charger 2 Scissors Water Wrench

Object Detection Model

2.3k images 1 class 1 model

Surface-of-water-in-bottle

Object Detection Model snap

NG Object Detection

141 images 86 classes 3 models

book chair hand ice cream lime person BBQ sauce Bamboo Barrel Basket Blue Chair Book trolley Bookrow Bread Brown Chair Buoy Calamari Rings Cherry Chichdi Chicken Wings

Object Detection Model snap

ObjectDetection

5.4k images 104 classes 1 model

apple backpack banana baseball bat baseball glove bear bed bench bicycle bird boat book bottle bowl broccoli bus cake car carrot cat

Object Detection Model snap

ambientes_domesticos_izak

Linha de visao computacional

647 images 45 classes 1 model

bottle bowl cabinet chair clock door glass bottle glass jar lamp microwave oven plastic bag plate refrigerator sink sofa table Bank armchair blender

Object Detection Model

2.2k images 6 classes 2 models

bottle pool tire bucket water tank water tube

Object Detection

detection-project

objectdetection

4.8k images 11 classes

bag book chair computer gun knife laptop mobile pen person water-bottle

Object Detection

OD

999 images 37 classes

Barbed-fence Bridge Building Bus Car Chair Concertina-fence Cupboard Door Fire Fire-extinguisher Gate Gun Hand-grenade Hill Jeep Knife Lunch-box Person Person-in-uniform

Object Detection Model snap

CoffeeShop Dataset

1k images 13 classes 1 model

Americano Bottle of water Hot Coco Hotcoco Iced Coffee Latte Milkshake Orange Juice Soda Strawberry juice Tea Water expresso

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Guide: How to Train a Computer Vision Model to Detect Water Bottles

You can use datasets from Roboflow Universe to train a model to detect water bottles in images and videos.

To download a dataset, first install the Roboflow Python package (pip install roboflow), then then the following code snippet.

When you run the code for the first time, you will be asked to authenticate with Roboflow.

                                    import roboflow
            
                                    roboflow.login()
            
                                    # replace with the water bottle project you choose above
                                    roboflow.download_dataset(
                                    dataset_url="https://universe.roboflow.com/dabur/dabur/20",
                                    model_format="coco"
                                    )

Where dataset_url is set to a project and version in the dataset you choose from the results above.

Roboflow has written guides on how to train computer vision models with popular architectures. Many guides come with accompanying notebooks you can follow to train a model.

Guide: Automatically Label Water Bottles in an Unlabeled Dataset

You can use foundation models to automatically label data using Autodistill.

Autodistill supports using many state-of-the-art models like Grounding DINO and Segment Anything to auto-label data. This is useful if a dataset you want to use is not already labeled.

Autodistill performs well at identifying common objects, but may struggle with more obscure objects. We recommend trying Autodistill using Grounded SAM for detection and segmentation or CLIP for classification.

Follow our guides below to get started.